Flood susceptible prediction through the use of geospatial variables and machine learning methods

NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - Elsevier
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

Flood susceptible prediction through the use of geospatial variables and machine learning methods

N Mahdizadeh Gharakhanlou… - Journal of Hydrology, 2023 - ui.adsabs.harvard.edu
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

Flood susceptible prediction through the use of geospatial variables and machine learning methods.

NM Gharakhanlou, L Perez - 2023 - cabidigitallibrary.org
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

[PDF][PDF] Flood susceptible prediction through the use of geospatial variables and machine learning methods

NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - drive.google.com
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …